Abstract:
An expert system is a computer based system that
user knowledge, facts and reasoning techniques to
solve problems that normally require the abilities of
human experts. Experts systems for the diagnosis of
the health problem are set out the fatigue of the role
of the caretaker. In order to build the knowledge
based of the expert system, it has been necessary to
design a model of the problem: once this model is
defined the knowledge based is composed by a set of
rules constructed in logic. This paper is intended to
develop the Rule-based system for diagnosis of
Tuberculosis. The knowledge base of an expert
system is often rule base, the system has a list of
rule which determine what should be done in
different situations. The rules are called production
rules. Forward chaining is the general concept of
data-driven reasoning that is, reasoning in within an
agent to derive conclusions from incoming percepts,
often without a specific query in mind.
The purpose of this paper is to support the way
that ensures the most effects of complications. This
proposal builds a rule-based expert system for
diagnosis of Tuberculosis to give the knowledge of
Tuberculosis concepts. It is an effective way and
easily to diagnose the Tuberculosis with related
treatment.
